Interpreting music manuscripts: A logic-based, object-oriented approach

W. Brent Seales; Arcot Rajasekar

doi:10.1007/3-540-60697-1_101

Interpreting music manuscripts: A logic-based, object-oriented approach

W. Brent Seales, Arcot Rajasekar

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper presents a complete framework for recognizing classes of machine-printed musical manuscripts. Our framework is designed around the decomposition of a manuscript into objects such as staves and bars which are processed with a knowledge base module that encodes rules in Prolog. Object decomposition focuses the recognition problem, and the rule base provides a powerful and flexible way to encode the rules of a particular manuscript class. Our rule-base registers notes and stems, eliminates false-positives and correctly labels notes according to their position on the staff. We present results that show 99% accuracy at detecting note-heads and 95% accuracy in finding stems.

Original language	English
Title of host publication	Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings
Editors	Roland T. Chin, Ting-Chuen Pong, Avi C. Naiman, Horace H.S. Ip
Pages	181-188
Number of pages	8
DOIs	https://doi.org/10.1007/3-540-60697-1_101
State	Published - 1995
Event	3rd International Computer Science Conference, ICSC 1995 - Hong Kong, Hong Kong Duration: Dec 11 1995 → Dec 13 1995

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1024
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Computer Science Conference, ICSC 1995
Country/Territory	Hong Kong
City	Hong Kong
Period	12/11/95 → 12/13/95

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1995.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-60697-1_101

Cite this

Seales, W. B., & Rajasekar, A. (1995). Interpreting music manuscripts: A logic-based, object-oriented approach. In R. T. Chin, T.-C. Pong, A. C. Naiman, & H. H. S. Ip (Eds.), Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings (pp. 181-188). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1024). https://doi.org/10.1007/3-540-60697-1_101

Seales, W. Brent ; Rajasekar, Arcot. / Interpreting music manuscripts : A logic-based, object-oriented approach. Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings. editor / Roland T. Chin ; Ting-Chuen Pong ; Avi C. Naiman ; Horace H.S. Ip. 1995. pp. 181-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper presents a complete framework for recognizing classes of machine-printed musical manuscripts. Our framework is designed around the decomposition of a manuscript into objects such as staves and bars which are processed with a knowledge base module that encodes rules in Prolog. Object decomposition focuses the recognition problem, and the rule base provides a powerful and flexible way to encode the rules of a particular manuscript class. Our rule-base registers notes and stems, eliminates false-positives and correctly labels notes according to their position on the staff. We present results that show 99% accuracy at detecting note-heads and 95% accuracy in finding stems.",

author = "Seales, {W. Brent} and Arcot Rajasekar",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1995.; 3rd International Computer Science Conference, ICSC 1995 ; Conference date: 11-12-1995 Through 13-12-1995",

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doi = "10.1007/3-540-60697-1_101",

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Seales, WB & Rajasekar, A 1995, Interpreting music manuscripts: A logic-based, object-oriented approach. in RT Chin, T-C Pong, AC Naiman & HHS Ip (eds), Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1024, pp. 181-188, 3rd International Computer Science Conference, ICSC 1995, Hong Kong, Hong Kong, 12/11/95. https://doi.org/10.1007/3-540-60697-1_101

Interpreting music manuscripts: A logic-based, object-oriented approach. / Seales, W. Brent; Rajasekar, Arcot.
Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings. ed. / Roland T. Chin; Ting-Chuen Pong; Avi C. Naiman; Horace H.S. Ip. 1995. p. 181-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1024).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents a complete framework for recognizing classes of machine-printed musical manuscripts. Our framework is designed around the decomposition of a manuscript into objects such as staves and bars which are processed with a knowledge base module that encodes rules in Prolog. Object decomposition focuses the recognition problem, and the rule base provides a powerful and flexible way to encode the rules of a particular manuscript class. Our rule-base registers notes and stems, eliminates false-positives and correctly labels notes according to their position on the staff. We present results that show 99% accuracy at detecting note-heads and 95% accuracy in finding stems.

AB - This paper presents a complete framework for recognizing classes of machine-printed musical manuscripts. Our framework is designed around the decomposition of a manuscript into objects such as staves and bars which are processed with a knowledge base module that encodes rules in Prolog. Object decomposition focuses the recognition problem, and the rule base provides a powerful and flexible way to encode the rules of a particular manuscript class. Our rule-base registers notes and stems, eliminates false-positives and correctly labels notes according to their position on the staff. We present results that show 99% accuracy at detecting note-heads and 95% accuracy in finding stems.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings

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Seales WB, Rajasekar A. Interpreting music manuscripts: A logic-based, object-oriented approach. In Chin RT, Pong TC, Naiman AC, Ip HHS, editors, Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings. 1995. p. 181-188. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-60697-1_101

Interpreting music manuscripts: A logic-based, object-oriented approach

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